Operations | Monitoring | ITSM | DevOps | Cloud

Global demand for data center capacity is skyrocketing. From 2023 to 2030, power consumption across data centers is expected to grow by up to 22% annually, driven primarily by generative AI (GenAI) workloads. By 2030, AI workloads are predicted to account for 70% of total demand. This demand doesn’t just mean more hardware; it necessitates high-density computing environments to support training large language models like GPT and real-time inference systems.

Top tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’ll look at two ways AI is optimizing flying for the passenger as well as the airline. "Brace! Brace! Brace!" Simple request. Serious consequences. Something that could get even the most vocal atheist to start praying. Something that no one would ever wish to hear in their lifetime.

As Generative AI (GenAI) reshapes the software development landscape, the risks and complexities around managing what gets built, where it comes from, and how it’s secured are growing just as fast. The Cloudsmith 2025 Artifact Management Report dives into this shift, offering critical insights into how teams are adapting their infrastructure and software supply chain security practices in response to the AI-generated code.

We are excited to announce that Netdata has officially implemented the Model Context Protocol (MCP), joining the forefront of AI-powered infrastructure monitoring.

The conversations around artificial intelligence (AI) typically revolve around its vast potential: writing applications, automating tasks, or transforming entire industries. However, despite the excitement around AI’s potential, the more pressing issue for many organizations is how to manage the risks of deploying it at scale across the enterprise. This is where AI Security Posture Management (AI-SPM) comes into play.